A6 · Evidence case · vendor-reported (Gong 2024 ROI study)

Deal health scoring from activity signals: email open/reply velocity, meeting frequency, champion engagement, and multi-threading index; flagged deals at risk of slippage

Slippage rate -29%; average sales cycle -11 days for 'at-risk' deals that received early intervention; 14% of flagged deals recovered that would have slipped — Multi-threading index (number of active stakeholders engaged in last 14 days) is the single highest-predictive signal for late-stage deals. Single-threaded deals close at 60% the rate of multi-threaded.

directional evidence vendor-reported Last updated 2026-06-18

Source trust note: Magnitude may be overstated. Vendor-reported results are subject to selection bias and survivorship bias — take direction, not magnitude.

What was built

Company type: Mid-market SaaS (MarTech)

Tier map

Tier 1 execution: deal execution monitoring

Tier 1 · Execution C6 Agentic hub →

Human-in-the-loop design

AE receives weekly deal health digest; manager reviews at-risk flag with AE; intervention is human-driven

Results

Slippage rate -29%; average sales cycle -11 days for 'at-risk' deals that received early intervention; 14% of flagged deals recovered that would have slipped

Quality caveat: these results are vendor-reported — treat as directional signal, not precise benchmark.

Source trust

vendor-reported vendor-reported (Gong 2024 ROI study)

This case is rated vendor-reported. The vendor has a direct commercial interest in presenting favorable results. Use these cases to understand direction (what kinds of improvements are possible) not magnitude (exact percentages).

Take direction, not magnitude. Vendor-reported results are systematically higher than independently measured equivalents due to selection bias, survivorship bias, and favorable framing.

Failure mode observed

AE gaming: some AEs learned to trigger favorable signals (scheduling meetings they'd cancel) to improve deal health scores

Transferable lesson

Key lesson: Multi-threading index (number of active stakeholders engaged in last 14 days) is the single highest-predictive signal for late-stage deals. Single-threaded deals close at 60% the rate of multi-threaded.

How to cite

@misc{shalvi_gtm_evidence_activity_signal_pipeline_health_2026,
  author    = {Singh, Shalvi},
  title     = {Deal health scoring from activity signals: email open/reply velocity, meeting fr — Agentic GTM Evidence Case},
  year      = {2026},
  note      = {Source trust: vendor-reported (Gong 2024 ROI study). Methodology: directional.},
  url       = {https://shalvisingh.com/gtm/evidence/activity-signal-pipeline-health}
}

Singh, S. (2026). *Deal health scoring from activity signals: email open/reply velocity, meeting fr — Agentic GTM Evidence Case*. GTM World Model. Retrieved from https://shalvisingh.com/gtm/evidence/activity-signal-pipeline-health

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